We have a large store, we have a robot with a camera in our store, we would like to process the images collected by our robot but we cannot use techniques from image classification because we would have to many classes. What should we do?
Applied Scientist Interview Questions
1,174 applied scientist interview questions shared by candidates
Create a Battleship kind of game in python. Interviewer really helped me out a lot in this to make the game more efficient using dictionaries
Asked me basic ML breadth and depth and one dsa question.
Leetcode medium questions. The interview was basically a discussion on edge cases
Machine learning, projects, experience and finally coding
About my research and its applications.
OA: Anagram, factors of number Ml fundamentals: what is precision, recall types of ml problems explain l1 vs l2 explain how clustering works and many more fundamental questions.
Explain Boosting, Random Forest, Bootstrap Aggregation.
ML depth and breadth questions: - What is an ensemble method? - Do you know logistic regression? - What are some regularization techniques for neural networks? - What is overfitting? - L2 regularization vs L1 regularization - Example of hypothesis testing - How do you evaluate a ML model? - Give some examples of classification algorithms ... Behavioral questions: - Tell me of a time you had a tight delivery and you were not able to deliver in time. - Tell me of a time when you helped someone without any ulterior motive
Case questions that test my knowledge in the specific area. For the bar raiser it is almost all behaviorial.
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